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Medical image analysis using advanced fuzzy set theoretic techniques is an exciting and dynamic branch of image processing. Since the introduction of fuzzy set theory, there has been an explosion of interest in advanced fuzzy set theories such as intuitionistic fuzzy and Type II fuzzy set that represent uncertainty in a better way.

Medical Image Processing: Advanced Fuzzy Set Theoretic Techniques deals with the application of intuitionistic fuzzy and Type II fuzzy set theories for medical image analysis. Designed for graduate and doctorate students, this higher-level text:...

This book provides a detailed analysis of fuzzy set images in image processing. It examines the fundamentals of the fuzzy set theory for carrying out calculations in image processing. Describing all components of fuzzy image processing, the book details preprocessing, threshold detection, and fuzzy match-based segmentation-all of which include new fuzzy approaches proposed by the distinguished authors. The text thoroughly explains fuzzy edge detection, fuzzy color-based image retrieval, and fuzzy clustering in pattern recognition. It concludes with a thorough description of MATLAB(R) and...

This brief provides an insight into the present scenario of the role of nanotechnology in the diagnosis and treatment of lung cancer at an early stage. Currently, lung cancer is the subject of major concern owing to the very high mortality rate throughout the world. Most of the conventional treatment methods such as surgery, chemotherapy, radiotherapy, etc., fail to prolong life of the patients. Incidents of recurrence are also very common in case of lung cancer. Researchers have shown that nanoparticles may act as a powerful anti cancer tool, especially for lung cancer. Unique surface...